Digital Commons Network^™

Effect Of Density Irregularities On Radio Frequency Wave Propagation In Ionospheric Plasmas, Eun-Hwa Kim, Jay Johnson, Syun'ichi Shiraiwa, Nicola Bertelli, Masayuki Ono, Simon Wing

Faculty Publications

No abstract provided.

Promoting The Concept Healthy Ageing For Use In Gerontological Health And Social Care Policy And Practice, Claire Donnellan

Research outputs 2022 to 2026

Aims: The concept of healthy or successful ageing dates back to the 1960s, where its goal is more realistic in today's ageing society as a result of effective interventions to control and reduce disability and health risks. The aim of this paper is to outline the importance of defining ageing, the semantics and indicators used, and to identify common challenges for health professionals' understanding and application of a healthy ageing approach in their everyday clinical practice. Design and Methods: This discursive paper demonstrates how realistic ageing indicators are for highlighting the variation and impact of challenges associated with ageing. It …

A Figurational Analysis Of Health And/Or Physical Education Teacher Educators’ Conceptualisations Of Policy, And Their Sociogenesis, Laura Alfrey, Dylan Scanlon, David Aldous, Jenna Lorusso, Kellie Baker, Christopher Clark, Mo Jafar

Research outputs 2022 to 2026

Policy engagement is key to promoting quality physical education yet it has been identified as a ‘grand challenge’ for Health and/or Physical Education (H/PE) internationally. All H/PE professionals, including teacher educators, have a collective responsibility to engage with policy but existing research tells us little about how H/PE teacher educators (H/PETEs) understand and engage with policy. It is important to examine H/PETEs conceptualisations of policy for a few reasons, not least because teacher educators play a crucial role in supporting future generations of teachers who themselves will need to engage with policy as a core feature of their professional lives. …

Investigation Of Causal Relationships Of The Cross-Scale Wave Coupling Through Information Theoretical Approach, Elmer Rivera, J. Johnson, Simon Wing, Eun-Hwa Kim, Khan-Hyuk Kim, Katariina Nykyri

Faculty Publications

No abstract provided.

Hydrodynamic Tipping Points In The Mississippi Sound In Response To Bonnet Carré Spillway Openings, Mustafa Kemal Cambazoglu, Brandy N. Armstrong, Mohsena Lopa, Marc Diard, Jerry D. Wiggert

Faculty Publications

This project examines the current operational strategy of the Bonnet Carré Spillway (BCS), a Mississippi River flood-control structure located about 21 miles northwest of New Orleans, Louisiana, and managed by the U.S. Army Corps of Engineers. The BCS is part of the larger Mississippi River and Tributaries Project, a network of levees and control structures designed to minimize flooding from the American plains to southern Louisiana. The spillway is opened when river discharge at New Orleans is forecasted to exceed 1,250,000 cubic feet per second, diverting significant volumes of Mississippi River water into Lake Pontchartrain which subsequently flows into Mississippi …

Variability In Documentation Of Neurological And Psychiatric Examinations Among Emergency Department Patients With Behavioral Health-Related Presentations: A Retrospective Study, Heba Mesbah, Payton Kim, Jide Oluwadare, Abdulelah Almanie, Inaara Malick, Nidal Moukaddam

Faculty, Staff and Students Publications

Background: Emergency departments (EDs) serve as a critical safety net for individuals experiencing acute behavioral health crises, a population that faces substantial medical morbidity and well-documented disparities in healthcare delivery. Thorough physical and neuropsychiatric assessment is essential in this setting to identify medical conditions that may mimic or exacerbate psychiatric symptoms. Incomplete documentation of these assessments may reflect gaps in care processes and represent a potential marker of inequity.

Objective: To characterize the completeness of documented neurological and psychiatric examinations among adult ED patients presenting with primary behavioral health-related chief complaints and to assess whether documentation patterns suggest persistent gaps …

The All Of Us Evenings With Genetics Research Program, Stacy M Lloyd, Jasmine Baker, Carolina Jorgez, Julie Coleman, Laterrica Williams, April Adams, Ashley Butler, Elizabeth Atkinson, Shamika Ketkar, Steven Scherer, Kim Worley, Susan Fernbach, Keasia Daniels, Latanya Hammonds-Odie, Laura Rosales, Brendan Lee, Debra Murray

Faculty, Staff and Students Publications

The All of Us Evenings with Genetics (All of Us EwG) Research Program, funded in part by the National Institute of Health’s All of Us Research Program, engages researchers to utilize the All of Us Researcher Workbench to advance precision medicine. The All of Us EwG program has two core aims: (1) address barriers to research productivity for minorities, disadvantaged, and persons with disabilities aspiring to enter STEM fields; and (2) promote the use of the All of Us Researcher Workbench to develop research focused on health equity. To achieve these goals, the program implements three key activities: (1) …

Experimental Investigation Into The Effects Of Air Staging On Fouling In A Fixed-Bed Biomass Combustor, Akram Elsebaie

Theses: Doctorates and Masters

Biomass offers significant potential as a sustainable and renewable substitute for fossil fuels in energy generation, playing a critical role in the reduction of global warming. However, despite its environmental benefits, biomass combustion faces persistent operational challenges, particularly fouling, which reduces efficiency and increases maintenance costs. Although fouling mechanisms have been studied in various combustion systems, there is limited research which addresses its formation and behaviour in fixed-bed biomass combustors under different air staging conditions. This research investigates fouling behaviour in a counter-current combustor, focusing on the influence of design (secondary air location), operational (air staging flowrates between the primary …

Tools Used To Measure Fear Avoidance Behaviour In The Management Of Mild Traumatic Brain Injury (Concussion), Liam Sherwood

Theses: Doctorates and Masters

Concussion can present challenges with respect to diagnosis and management. Fear avoidance behaviour and beliefs may be perpetuating factors in the clinical course of concussion. Understanding which patients may adopt such behaviours and beliefs can offer important information to allow tailoring of clinical management and implementing strategies to minimise the risk of progression to persisting post-concussion symptoms.

In this thesis, I:

-       systematically reviewed the current measurement tools used to assess fear avoidance behaviours and beliefs associated with concussion;

-       explored the experience of clinicians, researchers and people with lived experience of concussion in relation to fear avoidance behaviours;

- …

Synergistic Removal Of Microplastic Fibres: Integrating Chitosan Coagulation In Hybrid Water Pre-Treatment Systems, Jayasuriya Arachchilage Nimesha Thathsarani

Theses: Doctorates and Masters

Microplastic fibres (MPFs) are the most prevalent form of microplastics detected in the influents of water and wastewater treatment plants. Owing to their elongated shape and low density, MPFs frequently evade removal even during tertiary processes such as membrane filtration. Enhancing pretreatment, particularly through cost-effective coagulation-flocculation can reduce the treatment burden on downstream systems. However, conventional inorganic coagulants often necessitate high dosages and can leave residual ions, posing environmental concerns.

As a sustainable alternative, the use of environmentally friendly coagulants such as Chitosan has gained attention for MPF removal. While Chitosan exhibits favourable qualities, its practical application is hindered by …

Integrated Incubators: A Novel Framework For Technology-Based Creative Arts Education, Brad Phelps Nisbet

Theses: Doctorates and Masters

This thesis investigates the development and impact of an educational framework designed to bridge the gap between academia and industry within the media and entertainment sector. It addresses the prevalent "skills mismatch" where graduates often lack the specific technical competencies, foundational knowledge, practical experience, or soft skills required for entry-level positions in a rapidly evolving landscape influenced by advancements like virtual production, real-time VFX, immersive media, and Al. Grounded in both theoretical and practical insights, the framework aims to foster student creativity, technical proficiency, industry readiness, transferable skills, and adaptability, prioritising a transformative, student-centric learning experience.

The research employed a …

Detecting Habitat Use Of Three Endemic Freshwater Fish Of Far Southwestern Australia, Paige Rhiannon Wilson

Theses: Doctorates and Masters

The wetland ecosystems of far southwestern Australia face multiple threats including land clearing, historical cattle grazing, changed hydrology, extensive groundwater extraction, and changed fire regimes. Each is exacerbated by a drying climate, and together they provide a significant challenge to the on-going survival of the freshwater fish in this region particularly fish that are endemic, range restricted, and therefore, more likely to be more vulnerable. This study focuses on three such species: Galaxiella munda, Galaxiella nigrostriata and Lepidogalaxias salamandroides, the latter two of which are known to aestivate.

In order to make conservation decisions regarding management of wetlands for …

Study Of Fire Regimes In Southwestern Australia Using Geospatial Techniques, Ana Do Carmo Carvalho

Theses: Doctorates and Masters

The Northern Jarrah Forest in Southwestern Australia (SWA), part of a global biodiversity hotspot, is home to fire-sensitive tree species such as marri (Corymbia calophylla) and jarrah (Eucalyptus marginata). As climate change intensifies drought and extreme fire events, understanding the drivers of fire severity is increasingly critical. This thesis analyses fire regimes within the Mundaring drinking water catchment to better understand the spatiotemporal complexity of fire severity in relation to fire history and environmental factors.

The thesis commences with a review of three Fire History Databases (FHDs) used in SWA, highlighting significant inconsistencies and data gaps across time and space. …

The Matusiflute: Exploring Intercultural Collaboration Through Timbral Dízi Emulation Within An Australian-Chinese Orchestral Performance Setting, Gabriel Mcmahon

Theses: Doctorates and Masters

This research investigates how the Matusiflute can potentially promote intercultural Sino Western collaboration within solo, chamber and orchestral settings by consciously applying technical and stylistic codes attributed to the dízi (traverse Chinese bamboo flute). Using an autoethnographic approach, I reflect on my engagement with the dízi, its morphology, timbre and stylistic interpretation, and how my pedagogical flute context impacted this approach. These learnings were then applied to the Matusiflute through two premiere performances of a commissioned intercultural work by Nicholas Ng, The Secret of the Golden Flower (2024) for Matusiflute and Chinese Orchestra. The latter being performed in a solo …

An Investigation Into The Mechanisms, Barriers, Degree And Sphere Of Risk Influence In Corporate Security, Nicola Lockhart

Theses: Doctorates and Masters

This study investigates the sphere of corporate security risk influence within organisations, addressing the conceptual and practical ambiguity surrounding the activity’s capacity to shape organisational decisions, behaviours, and risk priorities. While corporate security’s protective role is widely recognised, its broader organisational risk influence remains under-theorised. The study defines the sphere of risk influence as the range of organisational stakeholders and environments with which the corporate security activity interacts, and within which it may engage, persuade, and mobilise action. This sphere is analytically constituted through the intersection of three dimensions: the mechanisms through which influence is attempted, the barriers that constrain …

Development Of Virtual Reality Learning Environments In Science To Engage Secondary Students In Hazardous Activities, Luke Spartalis

Theses: Doctorates and Masters

This research examines the need for change in including hazardous activities in education. As different learning technologies develop, platforms that retain authentic outcomes via virtual reality are needed. The main objective of this research is to examine the inclusion of Virtual Reality Learning Environments (VRLEs) to determine their value in areas that include hazardous conditions. The research considered the ways that VR tools could be optimised to support these activities, as well as considering the challenges of VRLE implementation. The study examined whether VRLE’s allowed for authentic experiences to sufficiently drive an acceptance of VR to complement existing teaching and …

The Experience Of Homelessness Among Older Adults In Bhutan - A Narrative Inquiry Study, Phuntsho Om

Theses: Doctorates and Masters

A shift in the demographics of homelessness started to occur in the 1900s, with a significant increase in the number of middle-aged or elderly men and women being recognised as a part of the homeless population. The rising urgent global concern of homelessness of older adults necessitates a deeper understanding of the lived experience and holistic well-being of these marginalised adults. This thesis aimed to explore the phenomenon of homelessness of older adults in Bhutan, which is an often neglected topic in both national and international gerontological research.

Employing narrative inquiry within the constructivist approach as articulated by Pino Gravidia …

Enhancing Deep Reinforcement Learning With Expert Demonstrations For Mobile Robot Navigation In Unstructured Off-Road Environments, Dulitha Dabare

Theses: Doctorates and Masters

Advancements in the field of Deep Learning has ushered in a boom in autonomous navigation research. Most of the work being conducted in this space, however, has focused on on-road urban navigation scenarios, with unstructured outdoor terrain navigation receiving much more limited attention. Given the wide range of applications that exist for legged and wheeled ground robots in off-road environments in areas such as agriculture, mining and disaster recovery, there is a growing need for research work to improve the navigational capabilities of mobile robots deployed in these challenging environments.

A promising candidate for application to these navigation challenges in …

Understanding Climate Change And Wellbeing Through Bhutan's Pursuit Of Gross National Happiness, Tashi Dorji

Theses: Doctorates and Masters

Climate change has evolved into one of the biggest global challenges of the twenty first century reshaping ecological systems and social conditions with wide-ranging implications for human wellbeing. Bhutan offers a distinct context to explore interactions between climate change and wellbeing as it remains guided by its wellbeing-centred development philosophy of Gross National Happiness (GNH). At the same time, it remains highly vulnerable to climate change despite being the only carbon negative country in the world. Nonetheless, the intersections between climate change and GNH have not been systematically explored.

This research aims to explore the relationship between climate change and …

Emotional Coding In Wolfgang Amadeus Mozart’S Music: The Influence Of Text-Driven Musical Patterns, Antonio Toppi

Theses: Doctorates and Masters

This thesis investigates the phenomenon of emotional coding in the music of Wolfgang Amadeus Mozart (1756–1791), with particular attention to the ways in which text-driven musical patterns influence both vocal and instrumental works. The study draws on 18th-century theories of key characteristics, musical-rhetorical figures, and topoi, compositional devices that carried emotional implications for contemporary listeners. These codes are first examined in two of Mozart’s operas, Le Nozze di Figaro (KV492) and Don Giovanni (KV527), where the setting of text to music provides a framework for associating compositional choices with emotion. Findings from the analyses are then applied to three contemporaneous …

Patient Experiences Of Receiving Home-Based Immunotherapy Infusions - A Constructivist Grounded Theory Study, Patricia Ann Cook

Theses: Doctorates and Masters

Context: The treatment of cancer and chronic health conditions has been greatly revolutionised via intravenous immunotherapy infusions. Demand, both globally and in Australia, is increasing due to several factors including aging and increased populations, subsequent increases of cancer cases, new immunotherapy indications and increased survival rates.

In Perth, Western Australia, a private service provider commenced delivering a home based immunotherapy infusions model of care as a hospital substitution service provider in 2013 and the service has now been extended across Australia. The safety and efficacy of home-based infusions have been well documented in research, and an increasing number of patients …

Multimodal Scene Understanding For Mobile Robot Navigation In Unstructured Outdoor Environments, Liyana Mudiyanselage Nipuna Dinendra Wijayathunga

Theses: Doctorates and Masters

The application of autonomous field robots in agriculture, mining, transport and logistics, disaster management, and exploration has increased with advances in sensing, perception, and autonomous navigation technologies. Western Australian off-road environments present challenges for autonomous ground robots because they contain unstructured ter rain, variations in appearance and geometry, changing illumination, and visually similar regions with different traversal characteristics. Reliable operation therefore requires scene understanding methods capable of representing the environment according to its navigability for robot traversal.

This PhD research investigates multimodal scene understanding for autonomous ground robot navigation in unstructured off-road environments. The research focuses on the development of …

Smart City And Smart Tourism Destinations: A Look At Split, Croatia, Bj Fletcher, Saša Drezgić, Molly Schnoke

All Maxine Goodman Levin School of Urban Affairs Publications

This case study was a multi-institutional collaborative effort shaped by interdisciplinary expertise including people and tools. Led by the Faculty of Economics and Business at the University of Rijeka, Croatia, the team includes researchers from the University of Illinois at Springfield (USA) and Cleveland State University (USA). The research team conducted a site visit of the city of Split between June 12-14, 2025. The visit included field observations, in-person interviews with local officials; informal meetings and conversations with varying experts and residents; examination and documentation of field visit sites; and review of strategies, plans and publicly available information.

Researchers utilized …

Large Language Models For Neurology: A Mini Review, Donald C. Wunsch, Daniel B. Hier

Electrical and Computer Engineering Faculty Research & Creative Works

Large language models have the potential to transform neurology by augmenting diagnostic reasoning, streamlining documentation, and improving workflow efficiency. This Mini Review surveys emerging applications of large language models in Alzheimer's disease, Parkinson's disease, multiple sclerosis, and epilepsy, with emphasis on ambient documentation, multimodal data integration, and clinical decision support. Key barriers to adoption include bias, privacy, reliability, and regulatory alignment. Looking ahead, neurology-focused language models may develop greater fluency in biomedical ontologies and FHIR standards, improving data interoperability and supporting more seamless collaboration between clinicians and AI systems. Two future developments have the potential to be particularly impactful: (1) …

Mitigating Hysteresis In Metal-Coated Fibers Via Optimized Thermal Treatment For Advanced Distributed High-Temperature Sensing Applications, Koustav Dey, Rony Kumer Saha, Bohong Zhang, S. Narasimman, Farhan Mumtaz, Jeffrey D. Smith, Rex E. Gerald, Ronald J. O'Malley, Jie Huang

Electrical and Computer Engineering Faculty Research & Creative Works

Metal-coated optical fibers are widely employed in sensing applications owing to their superior mechanical strength and corrosion resistance. However, their calibration at elevated temperatures is hindered by hysteresis, manifested as discrepancies between heating and cooling cycles, primarily caused by residual strain from mismatched thermal expansion coefficients (TECs) between the metal coating and silica cladding. This research introduces an optimal heat treatment procedure aimed at minimizing the impact of the mismatch in TECs between the cladding and the coating materials that causes the residual strain in gold (Au) and copper (Cu) coated fibers for achieving reliable distributed high temperature sensing up …

Multi-Parameter Optimization And Adaptive Temperature Compensation For Fbg Strain Sensors In Wide-Temperature-Range Aerospace Applications, Ruling Zhou, Jiacheng Yu, Yutang Dai, Jianguan Tang, Minghong Yang, Farhan Mumtaz

Electrical and Computer Engineering Faculty Research & Creative Works

Accurate strain measurement in cryogenic fuel pipelines is crucial for ensuring the structural integrity and reliability of rocket engine systems operating under extreme thermal conditions. Fiber Bragg grating (FBG) sensors show significant potential for such applications; however, their inherent temperature-strain cross-sensitivity limits performance over wide temperature ranges. This research presents an enhanced compensation strategy combining multi-parameter optimization with temperature-zone-specific adaptation to improve the accuracy and stability of FBG-based strain sensing in harsh aerospace environments. Four special steel substrate materials including S03, S06, S07, and 1Cr18Ni9Ti, were evaluated using strain transfer theory and thermo-mechanical coupling simulations. Genetic algorithms optimized key design …

Safe Optimal Control Framework For Cooperative Manipulation Of Objects In Human–Robot Teams, Irfan Ganie, Sarangapani Jagannathan

Electrical and Computer Engineering Faculty Research & Creative Works

This article introduces a distributed deep neural network (NN)-based adaptive control framework for cooperative object manipulation in human–robot teams with unknown agent dynamics by using three distinct multilayer NN observers (MNNOs). The first observer, termed the reference point estimator, enables each robotic agent to estimate the object's reference center using consensus-based learning, even without direct access to global reference trajectories. The second observer, referred to as the human force-to-trajectory estimator, uses human-applied forces to infer the intended position, velocity, and acceleration of the object, enabling real-time estimation of human intent. Together, these two observers allow distributed estimation of human-intended motion. …

High-Resolution, Fast-Response Optical Fiber Temperature Sensor With A Large Measurement Range Based On Fiber-Tip Alumina Fabry-Pérot Interferometer, Ruimin Jie, Chen Zhu, Robert Abbott, Michael Davis, Xiong Zhang, Jie Huang

Electrical and Computer Engineering Faculty Research & Creative Works

We present an alumina-tip optical fiber Fabry-Pérot interferometric temperature sensor exhibiting high-temperature performance, rapid response, and high resolution. Fabricated by fusion splicing an alumina micro disk directly to a single-mode fiber, the sensor achieves robust, stable operation without complex fabrication processes or adhesives. Experimental evaluation confirms a measurement range extending to 1000°C, with sensitivity of 28.66 pm/°C, a resolution of 0.042°C, and a rapid response time of approximately 13 ms. Compared to state-of-the-art optical fiber FPI sensors, our alumina-tip sensor offers superior overall performance, effectively addressing critical demands for high-resolution, fast-response temperature measurement in extreme environments including aerospace, structural monitoring, …

Waveguide-Assisted Single-Mode Fiber Bragg Gratings In A Highly Multimode Coreless Fiber Via Femtosecond Laser Inscription For Extreme Temperature Quasi-Distributed Thermal Sensing, Farhan Mumtaz, Koustav Dey, Bohong Zhang, Jeffrey D. Smith, Ronald J. O'Malley, Jie Huang

Electrical and Computer Engineering Faculty Research & Creative Works

This research reports a potential quasi-distributed thermal mapping optical sensing system for extreme temperatures, leveraging femtosecond (fs) laser inscribed single-mode fiber Bragg gratings (FBGs) and a waveguide within coreless, highly multimode optical fiber, resulting in a single-mode structure. Unlike doped single-mode fibers, coreless fibers composed of silica rods prevent issues associated with dopant migration and ensure data accuracy. The strategic placement of point-by-point FBGs in a cascaded formation on the fs-laser inscribed waveguide facilitates localized multipoint sensing. The long-term stability of the proposed waveguide-assisted FBG system was assessed over 24 hours at elevated temperatures (1000°C), showing no hysteresis during heating …

Performance Analysis And Optimization Of Fructose Memristor-Based Neuromorphic Systems, Harshvardhan Uppaluru, Shakil Mahmud Jiban, Shah Zayed Riam, Feng Zhao, Jinhui Wang

Electrical and Computer Engineering Faculty Research & Creative Works

Natural organic memristors have demonstrated promising synaptic behavior, positioning them as strong candidates for synaptic devices in neuromorphic systems. This paper presents the fabrication and evaluation of a neuromorphic system based on natural organic 16-level and 32-level fructose memristors. First, the manufacturing process of fructose memristors is described in detail. Second, the nonlinear property associated with fructose memristors is investigated, and an optimization method is applied to address the nonlinear effects. The performance of the fructose memristor-based neuromorphic system on MNIST with a multi-layer perceptron and on CIFAR-10 with VGG-8 is evaluated and reported under various conditions -with/without nonlinearity optimization …